Bellman ford Python
class Graph:
def __init__(self, vertices):
self.M = vertices # Total number of vertices in the graph
self.graph = [] # Array of edges
# Add edges
def add_edge(self, a, b, c):
self.graph.append([a, b, c])
# Print the solution
def print_solution(self, distance):
print("Vertex Distance from Source")
for k in range(self.M):
print("{0}tt{1}".format(k, distance[k]))
def bellman_ford(self, src):
distance = [float("Inf")] * self.M
distance[src] = 0
for _ in range(self.M - 1):
for a, b, c in self.graph:
if distance[a] != float("Inf") and distance[a] + c < distance[b]:
distance[b] = distance[a] + c
for a, b, c in self.graph:
if distance[a] != float("Inf") and distance[a] + c < distance[b]:
print("Graph contains negative weight cycle")
return
self.print_solution(distance)
g = Graph(5)
g.add_edge(0, 1, 2)
g.add_edge(0, 2, 4)
g.add_edge(1, 3, 2)
g.add_edge(2, 4, 3)
g.add_edge(2, 3, 4)
g.add_edge(4, 3, -5)
g.bellman_ford(0)